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Python for data analysis : data wrangling with pandas, NumPy, and IPython / Wes McKinney.

By: Material type: TextTextPublisher: Sebastopol, California : O'Reilly Media, Inc., [2018]Copyright date: c2018Edition: Second editionDescription: xvi, 528 pages : illustrations ; 24 cmContent type:
  • text
  • still image
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 1491957662
  • 9781491957660
Other title:
  • Data wrangling with pandas, NumPy, and IPython
Subject(s): Genre/Form: DDC classification:
  • 005.133 MCK 22
Contents:
Preliminaries -- Python language basics, IPython, and Jupyter notebooks -- Built-in data structures, functions, and files -- NumPy basics: arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data cleaning and preparation -- Data wrangling: join, combine, and reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Advanced pandas -- Introduction to modeling libraies in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system.
Summary: "Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process"--Page 4 of cover.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book - Borrowing Book - Borrowing Central Library Lower Floor Baccah 005.133 MCK (Browse shelf(Opens below)) Available 000048915
Total holds: 0

"Revision history for the Second Edition: 2017-09-25: First Release"--Title page verso.

First edition: October 2012.

Includes index.

Preliminaries -- Python language basics, IPython, and Jupyter notebooks -- Built-in data structures, functions, and files -- NumPy basics: arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data cleaning and preparation -- Data wrangling: join, combine, and reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Advanced pandas -- Introduction to modeling libraies in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system.

"Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process"--Page 4 of cover.

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